Analysis Summary
Gemini 2.5 Pro Preview 05-06 is a multimodal model built for demanding technical and document workflows. It supports text, images, files, audio, and video, with a 1M-token context window and tool use. The available results show strong general reasoning and coding capability, making it well suited to large codebases, long reports, and complex structured tasks.
For businesses, it can support software engineering, multimodal document analysis, research, content review, and agentic workflows that need broad input coverage. Its high output price makes it less attractive for routine bulk generation, and the preview designation calls for regression testing before placing it on critical client paths.
Adopt it for high-value work where context, coding, and multimodal analysis justify the premium. Pair it with a cheaper model for repetitive traffic.
Assessed September 7, 2026
Editorial notes
Gemini 2.5 Pro Preview combines strong coding, a 1M-token context window, vision, file and media input, and tool support. Its premium output pricing and preview status make careful production validation essential.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Gemini 2.5 Pro Preview combines strong coding, a 1M-token context window, vision, file and media input, and tool support. Its premium output pricing and preview status make careful production validation essential.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
29.5 Intelligence Index
How Google: Gemini 2.5 Pro Preview 05-06 compares
Google: Gemini 2.5 Pro Preview 05-06 ranks #93 of 435 AI models we track for overall intelligence. Its 1M-token context window is larger than 94% of the models we list. At $1.25 per million input tokens it is cheaper than 23% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on business fit. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $1.25 | $0.001250 |
| Output | $10.00 | $0.010000 |
What would Google: Gemini 2.5 Pro Preview 05-06 cost your business?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 756 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Google: Gemini 2.5 Pro Preview 05-06 for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Google: Gemini 2.5 Pro Preview 05-06
Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy..
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Frequently asked questions about Google: Gemini 2.5 Pro Preview 05-06
How much does Google: Gemini 2.5 Pro Preview 05-06 cost?
Google: Gemini 2.5 Pro Preview 05-06 costs $1.25 per million input tokens and $10.00 per million output tokens.
What is the context window of Google: Gemini 2.5 Pro Preview 05-06?
Google: Gemini 2.5 Pro Preview 05-06 has a context window of 1,048,576 tokens (1M).
What can Google: Gemini 2.5 Pro Preview 05-06 do?
Google: Gemini 2.5 Pro Preview 05-06 supports image/vision input, tool use, and function calling.
Who created Google: Gemini 2.5 Pro Preview 05-06?
Google: Gemini 2.5 Pro Preview 05-06 is developed by Google and was released on May 7, 2025.
Data sourced from the OpenRouter API, Artificial Analysis, the Hugging Face Open LLM Leaderboard and our own internal testing. Scores are editorially curated by our team.
Last updated: September 7, 2026 8:38 pm